Triple

T3276846
Position Surface form Disambiguated ID Type / Status
Subject Lady and the Tramp E68777 entity
Predicate mainCharacter P1183 FINISHED
Object Si
Si is one of the mischievous Siamese cats from Disney’s animated film "Lady and the Tramp," known for causing trouble with her twin, Am.
 E345348 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Si | Statement: [Lady and the Tramp, mainCharacter, Si]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Si
Context triple: [Lady and the Tramp, mainCharacter, Si]
  • A. SI
    SI is the abbreviation for Skeptical Inquirer, a magazine devoted to scientific skepticism, critical thinking, and the investigation of extraordinary claims.
  • B. SI
    SI is the globally accepted metric-based system of measurement used in science, industry, and everyday life.
  • C. S-I
    S-I was the first-stage booster of NASA’s early Saturn I launch vehicle, providing the initial thrust for some of the United States’ first heavy-lift test flights in the Apollo era.
  • D. .si
    .si is the country code top-level domain (ccTLD) assigned to websites associated with Slovenia.
  • E. SiR
    SiR is an American R&B singer, songwriter, and producer known for his smooth, soulful sound and work with Top Dawg Entertainment.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Si
Triple: [Lady and the Tramp, mainCharacter, Si]
Generated description
Si is one of the mischievous Siamese cats from Disney’s animated film "Lady and the Tramp," known for causing trouble with her twin, Am.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Si
Target entity description: Si is one of the mischievous Siamese cats from Disney’s animated film "Lady and the Tramp," known for causing trouble with her twin, Am.
  • A. SI
    SI is the abbreviation for Skeptical Inquirer, a magazine devoted to scientific skepticism, critical thinking, and the investigation of extraordinary claims.
  • B. SI
    SI is the globally accepted metric-based system of measurement used in science, industry, and everyday life.
  • C. S-I
    S-I was the first-stage booster of NASA’s early Saturn I launch vehicle, providing the initial thrust for some of the United States’ first heavy-lift test flights in the Apollo era.
  • D. .si
    .si is the country code top-level domain (ccTLD) assigned to websites associated with Slovenia.
  • E. SiR
    SiR is an American R&B singer, songwriter, and producer known for his smooth, soulful sound and work with Top Dawg Entertainment.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ad859b54f881909bf530d549caf2fd completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0128f08819084644f3c8fda2596 completed March 8, 2026, 5:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e84a3c2c8190908152fc042fcad1 completed March 12, 2026, 4:22 p.m.
NEDg Description generation batch_69b2e939460481909743b49e274b693e completed March 12, 2026, 4:26 p.m.
NED2 Entity disambiguation (via description) batch_69b2ecfd3c20819089bc0b2141aee8eb completed March 12, 2026, 4:42 p.m.
Created at: March 8, 2026, 3:10 p.m.